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README.md
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| 1 |
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---
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license: apache-2.0
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language:
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- multilingual
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- af
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- am
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- ar
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- az
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- be
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- bg
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- bn
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- ca
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- ceb
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- co
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- cs
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- cy
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- da
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- de
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- el
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- en
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- eo
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- es
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- et
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- eu
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- fa
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- fi
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- fil
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- fr
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- fy
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- ga
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- gd
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- gl
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- gu
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- ha
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- haw
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- hi
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- hmn
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- ht
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- hu
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- hy
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- ig
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- is
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- it
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- iw
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- ja
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- jv
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- ka
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- kk
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- km
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- kn
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- ko
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- ku
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- ky
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- la
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- lb
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- lo
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- lt
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- lv
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- mg
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- mi
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- mk
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- ml
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- mn
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- mr
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- ms
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- mt
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- my
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- ne
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- nl
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- no
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- ny
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- pa
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- pl
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- ps
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- pt
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- ro
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- ru
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- sd
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- si
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- sk
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- sl
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- sm
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- sn
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- so
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- sq
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- sr
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- st
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- su
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- sv
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- sw
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- ta
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- te
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- tg
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- th
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- tr
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- uk
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- und
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- ur
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- uz
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- vi
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- xh
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- yi
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- yo
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- zh
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- zu
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library_name: transformers
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---
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## Links for Reference
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- **Repository: https://github.com/kaistAI/LangBridge**
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- **Paper: [LangBridge: Multilingual Reasoning Without Multilingual Supervision](https://arxiv.org/pdf/2401.10695.pdf)**
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- **Point of Contact: dkyoon@kaist.ac.kr**
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# TL;DR
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🤔LMs good at reasoning are mostly English-centric (MetaMath, Orca 2, etc).
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😃Let’s adapt them to solve multilingual tasks. BUT without using multilingual data!
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LangBridge “bridges” mT5 encoder and the target LM together while utilizing only English data. In test time, LangBridge models can solve multilingual reasoning tasks effectively.
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# Usage
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Please refer to the [Github repository](https://github.com/kaistAI/LangBridge) for detailed usage examples.
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# Related Models
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[Check out other LangBridge models.](https://huggingface.co/collections/kaist-ai/langbridge-65afbbdae50627e40ca58f9a)
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| 126 |
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| 127 |
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We have:
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| 128 |
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- Llama 2
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| 129 |
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- Llemma
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| 130 |
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- MetaMath
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| 131 |
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- Code Llama
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| 132 |
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- Orca 2
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| 133 |
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# Citation
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| 135 |
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| 136 |
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If you find the following model helpful, please consider citing our paper!
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| 137 |
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**BibTeX:**
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| 139 |
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```bibtex
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| 141 |
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@misc{yoon2024langbridge,
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title={LangBridge: Multilingual Reasoning Without Multilingual Supervision},
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author={Dongkeun Yoon and Joel Jang and Sungdong Kim and Seungone Kim and Sheikh Shafayat and Minjoon Seo},
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year={2024},
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eprint={2401.10695},
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archivePrefix={arXiv},
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| 147 |
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primaryClass={cs.CL}
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| 148 |
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}
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| 149 |
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```
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